PYSEC-2020-116
Vulnerability from pysec - Published: 2020-09-25 19:15 - Updated: 2021-09-01 08:19In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of dlpack.to_dlpack can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a reinterpret_cast Since the PyObject is a Python object, not a TensorFlow Tensor, the cast to EagerTensor fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
| Name | purl | tensorflow | pkg:pypi/tensorflow |
|---|
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow",
"purl": "pkg:pypi/tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "22e07fb204386768e5bcbea563641ea11f96ceb8"
}
],
"repo": "https://github.com/tensorflow/tensorflow",
"type": "GIT"
},
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.2.1"
},
{
"introduced": "2.3.0rc0"
},
{
"fixed": "2.3.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.12.0rc0",
"0.12.0rc1",
"0.12.0",
"0.12.1",
"1.0.0",
"1.0.1",
"1.1.0rc0",
"1.1.0rc1",
"1.1.0rc2",
"1.1.0",
"1.2.0rc0",
"1.2.0rc1",
"1.2.0rc2",
"1.2.0",
"1.2.1",
"1.3.0rc0",
"1.3.0rc1",
"1.3.0rc2",
"1.3.0",
"1.4.0rc0",
"1.4.0rc1",
"1.4.0",
"1.4.1",
"1.5.0rc0",
"1.5.0rc1",
"1.5.0",
"1.5.1",
"1.6.0rc0",
"1.6.0rc1",
"1.6.0",
"1.7.0rc0",
"1.7.0rc1",
"1.7.0",
"1.7.1",
"1.8.0rc0",
"1.8.0rc1",
"1.8.0",
"1.9.0rc0",
"1.9.0rc1",
"1.9.0rc2",
"1.9.0",
"1.10.0rc0",
"1.10.0rc1",
"1.10.0",
"1.10.1",
"1.11.0rc0",
"1.11.0rc1",
"1.11.0rc2",
"1.11.0",
"1.12.0rc0",
"1.12.0rc1",
"1.12.0rc2",
"1.12.0",
"1.12.2",
"1.12.3",
"1.13.0rc0",
"1.13.0rc1",
"1.13.0rc2",
"1.13.1",
"1.13.2",
"1.14.0rc0",
"1.14.0rc1",
"1.14.0",
"1.15.0rc0",
"1.15.0rc1",
"1.15.0rc2",
"1.15.0rc3",
"1.15.0",
"1.15.2",
"1.15.3",
"1.15.4",
"1.15.5",
"2.0.0a0",
"2.0.0b0",
"2.0.0b1",
"2.0.0rc0",
"2.0.0rc1",
"2.0.0rc2",
"2.0.0",
"2.0.1",
"2.0.2",
"2.0.3",
"2.0.4",
"2.1.0rc0",
"2.1.0rc1",
"2.1.0rc2",
"2.1.0",
"2.1.1",
"2.1.2",
"2.1.3",
"2.2.0rc0",
"2.2.0rc1",
"2.2.0rc2",
"2.2.0rc3",
"2.2.0rc4",
"2.2.0",
"2.3.0rc0",
"2.3.0rc1",
"2.3.0rc2",
"2.3.0",
"2.1.4"
]
}
],
"aliases": [
"CVE-2020-15193",
"GHSA-rjjg-hgv6-h69v"
],
"details": "In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.",
"id": "PYSEC-2020-116",
"modified": "2021-09-01T08:19:32.562362Z",
"published": "2020-09-25T19:15:00Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"
},
{
"type": "ADVISORY",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v"
},
{
"type": "FIX",
"url": "https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8"
},
{
"type": "WEB",
"url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html"
}
]
}
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